basic:
  dataset: AirQuality
  device: cuda:0
  mode: train
  model: STGNRDE
  seed: 2023

data:
  batch_size: 16
  column_wise: false
  days_per_week: 7
  horizon: 24
  input_dim: 6
  lag: 24
  normalizer: std
  num_nodes: 12
  steps_per_day: 24
  test_ratio: 0.2
  val_ratio: 0.2

model:
  adp_opt: false
  cheb_k: 3
  emb_opt: false
  embed_dim: 10
  g_type: agc
  hid_dim: 128
  hid_hid_dim: 128
  input_dim: 6
  interpolation: cubic
  model_type: rde
  num_layers: 2
  num_nodes: 12
  output_dim: 6
  solver: rk4

train:
  batch_size: 16
  debug: false
  early_stop: true
  early_stop_patience: 15
  epochs: 100
  grad_norm: false
  log_step: 200
  loss_func: mae
  lr_decay: false
  lr_decay_rate: 0.3
  lr_decay_step:
    - 5
    - 20
    - 40
    - 70
  lr_init: 0.003
  mae_thresh: 0.0
  mape_thresh: 0.0
  max_grad_norm: 5
  output_dim: 6
  plot: false
  real_value: true
  weight_decay: 0